Josef Parvizi MD PhD
Publication Details
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Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas.
J Neural Eng. 2013; (2): 026002
Brain-machine interface systems translate recorded neural signals into command signals for assistive technology. In individuals with upper limb amputation or cervical spinal cord injury, the restoration of a useful hand grasp could significantly improve daily function. We sought to determine if electrocorticographic (ECoG) signals contain sufficient information to select among multiple hand postures for a prosthetic hand, orthotic, or functional electrical stimulation system.
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